{"id":"W3021109944","doi":"10.3390/foods9050592","title":"Comparison of the Potential Abilities of Three Spectroscopy Methods: Near-Infrared, Mid-Infrared, and Molecular Fluorescence, to Predict Carotenoid, Vitamin and Fatty Acid Contents in Cow Milk","year":2020,"lang":"en","type":"article","venue":"Foods","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; VetAgro Sup; Agence Nationale de la Recherche; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Institut National de la Recherche Agronomique; Danone","keywords":"Carotenoid; Infrared; Vitamin; Fluorescence; Food science; Fluorescence spectroscopy; Fatty acid; Infrared spectroscopy; Chemistry; Biochemistry; Organic chemistry; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002469259,0.0009677536,0.0004632247,0.00120672,0.0002369522,0.001030146,0.0004381824,0.0009479342,0.0003252023],"category_scores_gemma":[0.002324644,0.0002275553,0.0009246291,0.0005306739,0.0002223398,0.000761291,0.0004264468,0.0004271196,0.0002679622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404775,"about_ca_system_score_gemma":0.000353087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003805239,"about_ca_topic_score_gemma":0.003328124,"domain_scores_codex":[0.9993036,0.0002060269,0.00003748503,0.0002381688,0.0001626004,0.00005212149],"domain_scores_gemma":[0.9986798,0.000825468,0.0001206845,0.0001108406,0.0002311811,0.00003190201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002330429,0.0009116972,0.2815846,0.0007221978,0.002106024,0.0001761939,0.0002772395,0.2312911,0.2091225,0.0003713696,0.001067882,0.2700389],"study_design_scores_gemma":[0.00007245946,0.001133711,0.232447,0.00007901104,0.0008938872,0.0003236809,0.000228203,0.6676483,0.09460408,0.0005217384,0.001915634,0.0001322187],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773361,0.001890429,0.01852753,0.0001063583,0.00001754467,0.00001656412,0.0007024233,0.0002911421,0.001111801],"genre_scores_gemma":[0.9846572,0.0004880078,0.0128789,0.00004997166,0.00001288247,0.00002166855,0.001404543,0.00002552115,0.0004612571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003805239,"threshold_uncertainty_score":0.01305884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260104559459875,"score_gpt":0.2959796315358401,"score_spread":0.2533785859412413,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}